A Logspline Estimation for a Linear Regression Model with an Interval-Censored Continuous Covariate

DOI10.1080/03610918.2012.756909zbMath1462.62595OpenAlexW2086251657MaRDI QIDQ2876164

Yujiao Yang, Song Xu, Qiongxia Song

Publication date: 18 August 2014

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2012.756909

zbMATH Keywords

linear regression modelsinterval-censored covariatelogspline densitynoninformative censoring

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Cites Work

• Large-sample inference for log-spline models
• A study of interval censoring in parametric regression models
• A Spline-Based Semiparametric Maximum Likelihood Estimation Method for the Cox Model with Interval-Censored Data
• Relative index of inequality: definition, estimation, and inference
• Interval censoring: Model characterizations for the validity of the simplified likelihood
• Survival Analysis in Clinical Trials: Past Developments and Future Directions
• Local regression when the responses are Interval-Censored
• A SEMIPARAMETRIC HIERARCHICAL METHOD FOR A REGRESSION MODEL WITH AN INTERVAL-CENSORED COVARIATE
• A practical guide to splines.

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